搜索结果: 1-15 共查到“工学 rank”相关记录20条 . 查询时间(0.078 秒)
Academy of Mathematics and Systems Science, CAS Colloquia & Seminars：Graph Refinement via Simultaneously Low-rank and Sparse Approximation
低秩 稀疏近似 图细化
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2023/4/18
Graphs play an important role in many fields of machine learning such as clustering. Many graph-based machine learning approaches assume that the graphs have hidden group structures. However, the grou...
On Typability for Rank-2 Intersection Types with Polymorphic Recursion
Typability Rank-2 Intersection Types Polymorphic Recursion
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2016/5/24
We show that typability for a natural form of polymorphic recursive typing for rank-2 intersection types is undecidable. Our proof involves characterizing typability as a context free language (CFL) g...
Multi-rank Method - Achieving Projection Transformation with Adjustable Accuracy and Speed
Raster Map Remote Sensing Image Projection Transformation Multi-rank Accuracy Speed
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2016/1/25
In the field of GIS, it is frequently required to carry out projection transformation of massive raster maps or remote sensing images.
In this paper, a method named multi-rank method is presented. I...
英国兰克奖（The Rank Prize）获得者王国裕教授访问东南大学无锡分校
英国兰克奖 王国裕 东南大学无锡分校
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2015/11/6
2015年11月3日上午，英国兰克奖（The Rank Prize）获得者、CMOS图像处理器芯片原创团队成员王国裕教授到东南大学无锡分校访问交流。无锡分校常务副校长张继文教授等与王国裕教授进行了座谈交流。
A rank minimization heuristic with application to minimum order system approximation
Variable control system analysis and controller synthesis matrix rank linear matrix inequality (lmi) the positive semi-definite matrix variables
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2015/8/11
Several problems arising in control system analysis and design, such as reduced order controller synthesis, involve minimizing the rank of a matrix variable subject to linear matrix inequality (LMI) c...
Log-det heuristic for matrix rank minimization with applications to Hankel and Euclidean distance matrices
Positive semi-definite matrix convex sets functions half positive definite matrix distance data
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2015/8/11
We present a heuristic for minimizing the rank of a positive semidefinite matrix over a convex set. We use the logarithm of the determinant as a smooth approximation for rank, and locally minimize thi...
Rank minimization and applications in system theory
Matrix the convex set system identification statistics signal processing
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2015/8/11
In this tutorial paper, we consider the problem of minimizing the rank of a matrix over a convex set. The Rank Minimization Problem (RMP) arises in diverse areas such as control, system identification...
Low-Rank and Sparse Matrix Decomposition for Accelerated Dynamic MRI with Separation of Background and Dynamic Components
compressed sensing low-rank matrix completion sparsity dynamic MRI
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2015/6/17
Purpose: To apply the low-rank plus sparse (L+S) matrix decomposition model to reconstruct undersampled dynamic MRI as a superposition of background and dynamic components in various problems of clini...
Landscape Indices Based Two-Rank Sampling for Land Cover Validation
Validation Globalland 30 Sampling Landscape heterogeneity Landscape indices Web-based
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2014/7/23
A web-based validation is necessary for assessing the accuracy of Globalland30. As one of the obstacles in validation of global land cover data, it is a challenge to effectively select a reasonable sa...
Rank-Ordering of Topographic Variables Correlated with Temperature
Explanatory Variables Temperature Topography Collinearity Linear Regression
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2013/2/26
Spatial variations in temperature may be ascribed to many variables. Among these, variables pertaining to topography are prominent. Thus various topographic variables were calculated from 50 m-resolut...
Maximum Rank Correlation Training for Statistical Machine Translation
Maximum Rank Correlation Training Statistical Machine Translation
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2013/4/22
We propose Maximum Ranking Correlation (MRC) as an objective function in discrimi-native tuning of parameters in a linear model of Statistical Machine Translation (SMT). We try to maximize the ranking...
Multi-Task Rank Learning for Visual Saliency Estimation
Generalization ability multi-task learning pairwise rank learning visual saliency.
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2013/7/24
Visual saliency plays an important role in variousvideo applications such as video retargeting and intelligentvideo advertising. However, existing visual saliency estimationapproaches often construct ...
Cost-Sensitive Rank Learning from Positive and Unlabeled Data for Visual Saliency Estimation
Cost-Sensitive Rank Positive Unlabeled Data Visual Saliency Estimation
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2010/12/20
This paper presents a cost-sensitive rank learning approach for visual saliency estimation. This approach avoids the explicit selection of positive and negative samples, which is
often used by existi...
Influence of selective thinningS on spatial arrangement and social RANK changes of trees in young black alder stands
Alnus glutinosa Gaertn. spatial arrangement self-thinning selective thinning
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2009/11/26
Spatial arrangement, self-thinning and social rank changes of trees were analysed in pure even-aged stands of Alnus glutinosa (in north east Slovenia), in the period from the small to larger pole stag...
Total Quality Management in the Top Rank of the Dairy Industry in Jordan
TQM application/performance correlation TQM assessment in the dairy industry TQM survey
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2010/1/15
In this paper an investigation was carried out to assess the extent of the individual as well as the collective application of
Total Quality Management (TQM) factors in each of the companies of the t...